Data Engineer - GCH
At a glance
Mid-level Data Engineering role at Fa Etvl Saasfaprod1. India.
Pay not stated Data Engineer salary
dataroles summary, based on the employer's posting.
What you'll do
- Transform data with Apache Spark, using PySpark where preferred
- Work with Databricks Delta Lake, notebooks and Workflows in data engineering tasks
- Use Python and SQL to support data engineering work
- Apply data modeling concepts such as star schemas and dimensional modeling
What you bring
- You have seven to nine years of experience in data engineering
- You have practical experience with Databricks, including Delta Lake, notebooks and Workflows
- You can program in Python and SQL and use Spark for data transformation
- You have experience with AWS or Azure data services and understand Git and basic CI/CD
Who this fits
This role suits an experienced data engineer with strong Databricks, programming and data transformation skills. The role is based in India.
From the employer
1. Data Engineer:
Core Skills and Knowledge:
- 7-9 years of experience in data engineering.
- Hands-on experience with Databricks (Delta Lake, notebooks, Databricks Workflows).
- Strong programming skills in Python and SQL.
- Working knowledge of Apache Spark (PySpark preferred) for data transformation.
- Experience with either AWS (S3, Glue, EMR) or Azure (ADLS Gen2, Data Factory, Synapse) services.
- Understanding of data modeling concepts (star schema, dimensional modeling).
- Familiarity with version control (Git) and basic CI/CD practices.
Desirable Skills:
- Databricks Certified Data Engineer Associate (or working toward it).
- Exposure to streaming data pipelines (Structured Streaming, Kafka, Kinesis, or Event Hubs).
- Familiarity with orchestration tools (Airflow, Databricks Workflows).
- Basic understanding of data governance and security practices (PII masking, access control).
- Exposure to Power BI or other BI tools for understanding downstream